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TinyML: A Systematic Review and Synthesis of Existing Research
Han, Hui
Fraunhofer Institute for Experimental Software Engineering IESE,Data Science Department,Kaiserslautern,Germany.
ORCID iD:
0000-0001-9320-3808
Siebert, Julien
Fraunhofer Institute for Experimental Software Engineering IESE,Data Science Department,Kaiserslautern,Germany.
2022 (English)
In:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2022, p. 269-274
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2022. p. 269-274
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:ltu:diva-110034
DOI:
10.1109/icaiic54071.2022.9722636
Scopus ID:
2-s2.0-85127720179
OAI: oai:DiVA.org:ltu-110034
DiVA, id:
diva2:1899087
Conference
The 4th International Conference on Artificial Intelligence in Information and Communication, February 21-24, 2022, Shilla Stay Jeju, Jeju lsland, Korea
Available from:
2024-09-19
Created:
2024-09-19
Last updated:
2024-09-19
Bibliographically approved
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modern-language-association-8th-edition
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